Work

Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning

Year: 2024

Type: article

Abstract: The study demonstrates that convolutional neural networks can accurately diagnose and stage chronic obstructive pulmonary disease with inspiratory-only chest CT combined with clinical data.

Source: Radiology Cardiothoracic Imaging

DOI: 10.1148/ryct.240005

Authors: Amanda N. Lee, Albert Hsiao, Kyle A. Hasenstab

Institutions: San Diego State University, University of California San Diego

Language: English

Topic: Chronic Obstructive Pulmonary Disease (COPD) Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Pfizer, AstraZeneca, GlaxoSmithKline, COPD Foundation, Sunovion, National Institutes of Health, Genentech, National Heart, Lung, and Blood Institute

Awards: G2644038179, G377726100, G5258357286, (1 of 2) Genetic Epidemiology of COPD, G8354759825, G9000010287, G9000071188, G9000091268, G9000228787

OpenAlex ID: W4405319756

FWCI: 1.266

Cites: 29

Cited by: 5

Related to: 10